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    "The User Guide explains key concepts in detail.\n",
    "\n",
    "New users may prefer to start with the introduction in our [Getting Started](../getting_started/index.ipynb) guide.\n",
    "\n",
    "To see examples of what can be done with Datashader, see [Topics](../topics/index.ipynb).\n",
    "\n",
    "Contents:\n",
    "\n",
    "-   [1. Plotting Pitfalls](1_Plotting_Pitfalls.ipynb)  \n",
    "    Explains how Datashader avoids pitfalls encountered when plotting big datasets\n",
    "    using techniques designed for small ones.\n",
    "\n",
    "-   [2. Points](../topics/nyc_taxi.ipynb)  \n",
    "    (Under construction; meanwhile points to the [nyc_taxi](../topics/nyc_taxi.ipynb) notebook.)\n",
    "\n",
    "-   [3. Timeseries](3_Timeseries.ipynb)  \n",
    "    Plotting timeseries and other curves.\n",
    "\n",
    "-   [4. Trajectories](4_Trajectories.ipynb)  \n",
    "    Plotting trajectories (e.g. connected GPS points) in a plane.\n",
    "\n",
    "-   [5. Rasters](5_Rasters.ipynb)  \n",
    "    Plotting gridded (raster) data, from regularly sampled 2D points in\n",
    "    a plane.\n",
    "\n",
    "-   [6. Trimesh](6_Trimesh.ipynb)\n",
    "    Plotting large irregular triangular grids (meshes).\n",
    "\n",
    "-   [7. Networks](7_Networks.ipynb)  \n",
    "    Plotting large network graphs.\n",
    "\n",
    "-   [8. Geography](8_Geography.ipynb)  \n",
    "    Using Datashader for geographic applications\n",
    "\n",
    "-   [9. Extending](9_Extending.ipynb)  \n",
    "    Extending datashader with new components and functionality.\n",
    "\n",
    "-   [10. Performance](10_Performance.ipynb)  \n",
    "    Hints for getting good performance out of Datashader in your\n",
    "    applications."
   ]
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